General methods to optimize the database language:
Creating an appropriate index: Ensure that an appropriate index is used to support the query. Create indexes based on query criteria and sorting requirements and avoid a full table scan. Run the db.collection.createIndex() command to create indexes.
Run the explain() method to analyze the execution plan: Use the explain() method to view the execution plan for the query and verify that appropriate indexes are used. Check the winningPlan in the execution plan to ensure that the query uses indexes, instead of performing a full table scan.
Avoiding a full table scan: Try to avoid a full table scan, especially when querying large collections. Use indexes to improve query efficiency, limit the number of documents returned, and use appropriate query criteria.
Projection operation: Use projection operations in queries to limit the fields returned and avoid returning unnecessary data. The use of projection can reduce network transmission and memory consumption.
Paging query optimization: During paging queries, use the limit() and skip() methods to limit the number of documents returned, and avoid using high skip() values. Otherwise, the performance may degrade.
Using aggregation operation instead of multiple queries: For complex query requirements, use aggregation operation to avoid multiple queries and data transmissions, thereby improving the performance.
Bulk operation: For a large number of insert, update, or delete operations, the bulk operation can reduce the number of interactions with the database and thus improve the efficiency.
Data model design optimization: Design the data model reasonably, use embedded documents and reference documents to meet the query requirements, and avoid frequent multi-table queries.
Regular database maintenance and optimization: Perform regular database maintenance and optimization operations, including index reconstruction and defragmentation, to ensure that the database performance is maintained at a high level.
Monitoring and performance fine-tuning: Use the Dashboard to monitor the performance metrics of the database, identify and fine-tune performance issues in a timely manner.